Publication: FocusBoost – A Study Aid with Adaptive Learning Techniques
| dc.contributor.author | Prabaharan, N | |
| dc.contributor.author | Dampalessa, D.R.C.G.K. | |
| dc.date.accessioned | 2025-09-16T03:35:11Z | |
| dc.date.available | 2025-09-16T03:35:11Z | |
| dc.date.issued | 2025-07-08 | |
| dc.description.abstract | FocusBoost is an AI-powered adaptive learning platform designed to support children with Attention Deficit Hyperactivity Disorder (ADHD) through personalized learning experiences. By integrating video-based learning with voice input analysis, the system uses speech processing techniques to assess a child's engagement and comprehension in real-time. Based on real-time analysis, the platform dynamically adjusts content difficulty and pace to the needs of the individual learner. In practical testing, the system demonstrated high accuracy in classifying learner engagement and comprehension, with more ADHD learners reporting improved focus and content retention. Additionally, parents have noticed positive changes in their child’s study habits and attention span through its use. The site has a performance tracking accuracy page for children, which shows their level of comprehension. This research highlights the effectiveness of AI-enhanced learning for students with brain and neurological issues and its potential to improve inclusive, sustainable education practices. The system is designed with scalability in mind, allowing for multilingual support, culturally adaptive content, and future integration with medical professionals, expanding its impact across a variety of educational and therapeutic settings. | en_US |
| dc.identifier.doi | https://doi.org/10.54389/JSQL8368 | en_US |
| dc.identifier.issn | 3093-5768 | |
| dc.identifier.uri | https://rda.sliit.lk/handle/123456789/4179 | |
| dc.language.iso | en | en_US |
| dc.publisher | SLIIT City UNI | en_US |
| dc.relation.ispartofseries | ARCSCU 2025;102-106P. | |
| dc.subject | Artificial Intelligence | en_US |
| dc.subject | Attention Deficit Hyperactivity Disorder | en_US |
| dc.subject | Natural Language Processing | en_US |
| dc.subject | Mel- Frequency Cepstral Coefficients | en_US |
| dc.subject | Short-Time Fourier Transform | en_US |
| dc.subject | Convolutional Neural Network | en_US |
| dc.title | FocusBoost – A Study Aid with Adaptive Learning Techniques | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication |
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